Marc Paterno

Computer Science Researcher at Fermilab

St. Charles, Illinois, United States
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Summary

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Marc Paterno is a Computer Science Researcher with 14 years of industry experience and a long career at Fermilab designing and implementing software for large-scale data handling and analysis. He specializes in architecture, analysis and improving legacy codebases, and has led and mentored engineering teams through complex scientific computing projects. His background includes building C++ frameworks and control systems for high-throughput experimental data (hundreds of interdependent algorithms and ~100 TB/year throughput) and applying probability and custom simulation to thorny analysis problems. As Assistant Head for R&D and Architecture he bridged research needs and production-grade software, guiding priorities and pre-publication reviews for large collaborations. Based in St. Charles, Illinois, he combines a Ph.D. in Physics with deep hands-on engineering, making him equally comfortable in low-level system design and high-level analysis strategy. Colleagues know him for turning research requirements into robust, maintainable systems while actively mentoring the next generation of scientific software developers.
code15 years of coding experience
job23 years of employment as a software developer
bookBachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at Massachusetts Institute of Technology
bookPh.D., Physics, Ph.D., Physics at State University of New York at Stony Brook
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Stackoverflow

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Github Skills (100)

python10
windows10
density-estimation10
linux10
sampler10
random-walk10
conda10
macos10
simulation10
cosmology10
routines10
redmine10
conda-forge9
background-image9
scientific-computing9

Programming languages (15)

C++CRustCMakeMakefileGoHTMLJupyter Notebook

Github contributions (5)

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marcpaterno/gallery-demo

Jun 2016 - Oct 2018

Contributions:62 commits, 2 PRs, 39 pushes in 2 years 4 months
artdata-filesoutsidegalleryroot
marcpaterno/gpuintegration

Apr 2020 - Oct 2022

Code for Fermilab LDRD 2020-050 "Numerical Integration on GPUs", implementing the CUHRE routine for GPUs.
Contributions:1 review, 247 commits, 1 PR in 2 years 6 months
numerical-integration
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